1
|
Karuppasamy M, English KG, Henry CA, Manzini MC, Parant JM, Wright MA, Ruparelia AA, Currie PD, Gupta VA, Dowling JJ, Maves L, Alexander MS. Standardization of zebrafish drug testing parameters for muscle diseases. Dis Model Mech 2024; 17:dmm050339. [PMID: 38235578 PMCID: PMC10820820 DOI: 10.1242/dmm.050339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Accepted: 12/06/2023] [Indexed: 01/19/2024] Open
Abstract
Skeletal muscular diseases predominantly affect skeletal and cardiac muscle, resulting in muscle weakness, impaired respiratory function and decreased lifespan. These harmful outcomes lead to poor health-related quality of life and carry a high healthcare economic burden. The absence of promising treatments and new therapies for muscular disorders requires new methods for candidate drug identification and advancement in animal models. Consequently, the rapid screening of drug compounds in an animal model that mimics features of human muscle disease is warranted. Zebrafish are a versatile model in preclinical studies that support developmental biology and drug discovery programs for novel chemical entities and repurposing of established drugs. Due to several advantages, there is an increasing number of applications of the zebrafish model for high-throughput drug screening for human disorders and developmental studies. Consequently, standardization of key drug screening parameters, such as animal husbandry protocols, drug compound administration and outcome measures, is paramount for the continued advancement of the model and field. Here, we seek to summarize and explore critical drug treatment and drug screening parameters in the zebrafish-based modeling of human muscle diseases. Through improved standardization and harmonization of drug screening parameters and protocols, we aim to promote more effective drug discovery programs.
Collapse
Affiliation(s)
- Muthukumar Karuppasamy
- Division of Neurology, Department of Pediatrics, University of Alabama at Birmingham and Children's of Alabama, Birmingham, AL 35294, USA
| | - Katherine G. English
- Division of Neurology, Department of Pediatrics, University of Alabama at Birmingham and Children's of Alabama, Birmingham, AL 35294, USA
| | - Clarissa A. Henry
- Graduate School of Biomedical Science and Engineering, University of Maine, Orono, ME 04469, USA
- School of Biology and Ecology, University of Maine, Orono, ME 04469, USA
| | - M. Chiara Manzini
- Child Health Institute of New Jersey and Department of Neuroscience and Cell Biology, Rutgers, Robert Wood Johnson Medical School, New Brunswick, NJ 08901, USA
| | - John M. Parant
- Department of Pharmacology and Toxicology, University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL 35294, USA
| | - Melissa A. Wright
- Department of Pediatrics, Section of Child Neurology, University of Colorado at Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Avnika A. Ruparelia
- Department of Anatomy and Physiology, School of Biomedical Sciences, Faculty of Medicine Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria 3010, Australia
- Centre for Muscle Research, Department of Anatomy and Physiology, University of Melbourne, Melbourne, Victoria 3010, Australia
- Australian Regenerative Medicine Institute, Monash University, Clayton, Victoria 3800, Australia
| | - Peter D. Currie
- Centre for Muscle Research, Department of Anatomy and Physiology, University of Melbourne, Melbourne, Victoria 3010, Australia
- Australian Regenerative Medicine Institute, Monash University, Clayton, Victoria 3800, Australia
- EMBL Australia, Victorian Node, Monash University, Clayton, Victoria 3800, Australia
| | - Vandana A. Gupta
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - James J. Dowling
- Division of Neurology, The Hospital for Sick Children, Toronto, Ontario M5G 1X8, Canada
- Department of Paediatrics, University of Toronto, Toronto, Ontario M5G 1X8, Canada
- Program for Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario M5G 0A4, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5G 0A4, Canada
| | - Lisa Maves
- Center for Developmental Biology and Regenerative Medicine, Seattle Children's Research Institute, Seattle, WA 98101, USA
- Department of Pediatrics, University of Washington, Seattle, WA 98195, USA
| | - Matthew S. Alexander
- Division of Neurology, Department of Pediatrics, University of Alabama at Birmingham and Children's of Alabama, Birmingham, AL 35294, USA
- UAB Center for Exercise Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL 35294, USA
- Civitan International Research Center, University of Alabama at Birmingham, Birmingham, AL 35294, USA
- UAB Center for Neurodegeneration and Experimental Therapeutics (CNET), Birmingham, AL 35294, USA
| |
Collapse
|
2
|
Saxena S, Spaink HP, Forn-Cuní G. Drug Resistance in Nontuberculous Mycobacteria: Mechanisms and Models. BIOLOGY 2021; 10:biology10020096. [PMID: 33573039 PMCID: PMC7911849 DOI: 10.3390/biology10020096] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 01/25/2021] [Accepted: 01/26/2021] [Indexed: 02/07/2023]
Abstract
The genus Mycobacteria comprises a multitude of species known to cause serious disease in humans, including Mycobacterium tuberculosis and M. leprae, the responsible agents for tuberculosis and leprosy, respectively. In addition, there is a worldwide spike in the number of infections caused by a mixed group of species such as the M. avium, M. abscessus and M. ulcerans complexes, collectively called nontuberculous mycobacteria (NTMs). The situation is forecasted to worsen because, like tuberculosis, NTMs either naturally possess or are developing high resistance against conventional antibiotics. It is, therefore, important to implement and develop models that allow us to effectively examine the fundamental questions of NTM virulence, as well as to apply them for the discovery of new and improved therapies. This literature review will focus on the known molecular mechanisms behind drug resistance in NTM and the current models that may be used to test new effective antimicrobial therapies.
Collapse
|
3
|
van Wijk RC, Hu W, Dijkema SM, van den Berg DJ, Liu J, Bahi R, Verbeek FJ, Simonsson USH, Spaink HP, van der Graaf PH, Krekels EHJ. Anti-tuberculosis effect of isoniazid scales accurately from zebrafish to humans. Br J Pharmacol 2020; 177:5518-5533. [PMID: 32860631 PMCID: PMC7707096 DOI: 10.1111/bph.15247] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 08/03/2020] [Accepted: 08/23/2020] [Indexed: 12/24/2022] Open
Abstract
Background and Purpose There is a clear need for innovation in anti‐tuberculosis drug development. The zebrafish larva is an attractive disease model in tuberculosis research. To translate pharmacological findings to higher vertebrates, including humans, the internal exposure of drugs needs to be quantified and linked to observed response. Experimental Approach In zebrafish studies, drugs are usually dissolved in the external water, posing a challenge to quantify internal exposure. We developed experimental methods to quantify internal exposure, including nanoscale blood sampling, and to quantify the bacterial burden, using automated fluorescence imaging analysis, with isoniazid as the test compound. We used pharmacokinetic–pharmacodynamic modelling to quantify the exposure–response relationship responsible for the antibiotic response. To translate isoniazid response to humans, quantitative exposure–response relationships in zebrafish were linked to simulated concentration–time profiles in humans, and two quantitative translational factors on sensitivity to isoniazid and stage of infection were included. Key Results Blood concentration was only 20% of the external drug concentration. The bacterial burden increased exponentially, and an isoniazid dose corresponding to 15 mg·L−1 internal concentration (minimum inhibitory concentration) leads to bacteriostasis of the mycobacterial infection in the zebrafish. The concentration–effect relationship was quantified, and based on that relationship and the translational factors, the isoniazid response was translated to humans, which correlated well with observed data. Conclusions and Implications This proof of concept study confirmed the potential of zebrafish larvae as tuberculosis disease models in translational pharmacology and contributes to innovative anti‐tuberculosis drug development, which is very clearly needed.
Collapse
Affiliation(s)
- Rob C van Wijk
- Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.,Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
| | - Wanbin Hu
- Division of Animal Sciences and Health, Institute of Biology Leiden, Leiden University, Leiden, The Netherlands
| | - Sharka M Dijkema
- Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - Dirk-Jan van den Berg
- Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - Jeremy Liu
- Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - Rida Bahi
- Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - Fons J Verbeek
- Imaging and Bioinformatics Group, Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands
| | | | - Herman P Spaink
- Division of Animal Sciences and Health, Institute of Biology Leiden, Leiden University, Leiden, The Netherlands
| | - Piet H van der Graaf
- Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.,QSP, Certara, Canterbury, UK
| | - Elke H J Krekels
- Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| |
Collapse
|